At present, it is one of the urgent tasks of management to realize the sustainable growth of enterprises, organizations, and the whole national economic system. The focus of this issue is increasingly turning to the search for suitable innovative technologies. Through research and access to relevant information, it has been found that the research on enterprise growth innovation technology based on EG models and DL can solve the bottleneck of traditional enterprise innovation. Taking a technology park as the research object, Zhen and Yao [
18] proposed a new evaluation model for enterprise technology innovation with DL, carried out through comprehensive evaluation. This method used the idea of combination prediction but did not propose an strategy for improving the innovation mode. Liu [
19] classified the data of enterprises in time and space by studying their spatio-temporal characteristics. On this basis, a convolution method for prediction was proposed. However, the accuracy of this method for the prediction of innovation performance needs to be improved. Abudureheman et al. [
20] created an enterprise evaluation method with six different perspectives. However, the evaluation system of this method was relatively complex and difficult to apply in practice. Zhang et al. [
21] used a three-party differential dynamic game model to find that government subsidies contribute to the spread of enterprise digitalization, and that the level of industrial digitalization reaches Pareto optimality under the tripartite collaboration of the government, technology companies, and traditional enterprises. Wang et al. [
22] took collaborative innovation risk as the starting point for their research. A method for analyzing the risk using DL was proposed, introducing synergetic effect and dynamic capability as intermediary variables and regulatory variables. However, this method did not analyze how to improve and reduce the risk from collaborative innovation. Yang and Wang [
23] proposed a model of enterprise culture and technology with the DL method, taking the influence of enterprise technology innovation capability and enterprise culture on the enterprise itself as the research objects. However, this method did not consider the external factors affecting the development of enterprise innovation technology. Based on the data of listed companies, Chen et al. [
24] constructed a fixed panel data model, and found that sufficient industry competition can change the information structure of the market and improve the speed of digital diffusion of enterprises. Huang et al. [
25] found that improving profit margins and the level of digital collaboration of enterprises is conducive to the digital diffusion of cultural industries, by constructing game theory models and carrying out numerical simulations. Xiong [
26], through relevant theoretical research, pre-surveys, and the construction of an appropriate measurement scale, put forward the corresponding relationship model by combining the methods of small and medium enterprises. However, this relationship model only analyzed the impact of network relationships, which has certain limitations. Bai [
27] put forward relevant assumptions to construct a regression model and proposed a relationship model. However, this model only analyzed the stock price information, and its scope of application was limited. Hu [
28] found that a good social network relationship is helpful to the digital diffusion of enterprises in the process of exploring the digital performance of enterprises based on social network theory. Zhao and Li [
29] proposed to build a three-level ‘county, township, and village’ joint distribution system with the participation of e-commerce platforms. They first established and solved an evolutionary game model of a joint distribution alliance of express delivery enterprises. Finally, they analyzed the model by numerical simulation. It showed that the innovation growth of enterprises is related to factors such as excess return, early input cost, operation cost, cooperation risk, punishment cost, and enterprise learning absorption capacity. Jia et al. [
30] proposed that the innovative growth of enterprises needs to use the open innovation model to obtain external knowledge, resources and skills, improve internal innovation performance, and achieve innovation catch-up. Dynamic capabilities can effectively promote the open innovation activities of enterprises. In addition, the different dimensions of dynamic capabilities, namely, perception ability, absorptive capacity, complementary ability, and coordination ability, also have a significant incentive effect on open innovation. Wang et al. [
31] proposed an evolutionary game model between upstream and downstream enterprises, and explored the interaction between credit sales and green technology innovation through evolutionary equilibrium analysis, which provided theoretical support for the development of enterprise innovation technology. Haffar et al. [
32] proposed to test the innovation strategy of commercial finance. By examining network capabilities and frugal innovation, he used quantitative research methods to provide great help for the innovation growth of commercial organizations such as SMEs. Costa et al. [
33] realized digital transformation through digital technology, studied the field situation of three pulp and paper companies in Brazil, provided a practical basis for the sustainable development of enterprises, and provided theoretical support for the rapid development of enterprises. Shinkevich et al. [
34] proposed that achieving sustainable growth of enterprises is one of the urgent tasks of management. They used descriptive statistics, correlation-regression analysis, and other methods to prove this in their research. Nastase et al. [
35] proposed to analyze the business model of a company from the perspective of circular economy, and used a case study based on Evertoys to propose new strategies for the innovation model of the company. Lisin et al. [
36] proposed innovative ideas for the financial sustainable growth of enterprises by analyzing ESG parameters, using regression models and Pearson correlation coefficients.
Trisyulianti et al. [
37] proposed to design a sustainable performance management system, starting from the vision and mission of the enterprise, and put forward innovative methods for the sustainable development of the enterprise. Girdzijauskas et al. [
38] proposed to establish a new inflation aggregate analysis model to analyze the sustainable growth of the economy. This research is also of great significance to the innovation and growth of the enterprise economy. Using the data regression model, Zhang et al. [
39] proposed the sustainable development enterprise strategy, which provided constructive suggestions for the sustainable innovation and growth of enterprises. Morioka et al. [
40] proposed to combine the concept of enterprise sustainability performance and sustainable business models, and used the sustainable innovation model to provide a valuable contribution to the innovation and growth of enterprises. Mandicak et al. [
41] proposed a sustainable innovation design to realize the enterprise management process, which is of great significance for the sustainable development of the enterprise economy. Feng and Liu [
42] proposed to use multiple linear regression models to study the sustainable development of enterprises, which is of great significance to the innovation and growth of enterprises. Ren and Li [
43] discussed the digital transformation to promote the development of enterprise green innovation technology, which has an important impact on the sustainable development of enterprises. Storm and Smith [
44] proposed a collaborative approach to stimulate the sustainable development of SMEs, which can increase the innovation opportunities of enterprises and open up new ways of thinking to meet new challenges. Kim et al. [
45] discussed the mechanism of action in the process of enterprise management, and adopted the method of qualitative analysis to study the enterprise strategy, which has an important influence on the growth of the enterprise. Bhalla et al. [
46] used regression models and structural equation models to conduct quantitative analysis of enterprises. This method is very important to the impact of enterprise performance, and it is also of great significance to the innovation growth of enterprises. Vrontis et al. [
47] proposed the use of digital technology to influence the sustainability of the enterprise economy. This technology is of great significance for reducing the external crisis of enterprises and promoting the sustainable development of enterprises to a great extent. Wang and Huang [
48] contributed to the sustainable development of enterprises by regulating the corporate control culture. Chatterjee et al. [
49] used structural equation modeling technology to regulate the sustainable growth of SMEs, which has an important impact on the sustainable growth of enterprises. Tian et al. [
50] used the panel data of listed companies to guide enterprises to use knowledge-intensive services to enhance the innovation growth of enterprises, which is of positive significance for the sustainable entrepreneurial growth of enterprises. Surya et al. [
51] designed the sustainable development of enterprises by using the hypothesis method, and provided help for improving the sustainable innovation growth of enterprises through the combination of quantitative research and qualitative research. However, traditional enterprise growth innovation methods cannot effectively estimate the emotional tendency online and cannot guide enterprise growth. Therefore, this paper proposed an enterprise growth innovation technology method based on the EG model and DL. Compared with the traditional research on enterprise growth, the innovations of the proposed method were:
(1) EG theory was used to improve the accuracy of PO judgment through the process of imitation and learning among various game players;
(2) The DL network model based on CNN–GRU was able to extract the sequence features from global information while considering the contextual relationship, and improve the accuracy of PO judgment;
(3) Based on the characteristics of negative PO in the climax stage, the corresponding EG model and enterprise game pay-off matrix were established, which improved the prediction performance of the model for enterprise growth.